This
research
explores
the
negative
impact
of
technostress
on
Indonesian
e-wallet
users,
utilizing
sentiment
classification
and
Latent
Dirichlet
Allocation
(LDA)
modeling.
Previous
studies
have
indicated
triggers
sentiments.
study
confirms
similar
effects
in
usage,
employing
analysis
LDA
Analyzing
data
from
user
reviews
validates
findings
that
generates
sentiments
among
users.
Sentiment
shows
a
clear
link
between
experiences
reviews.
The
model
identifies
most
frequent
complaints.
underscores
e-Wallet's
technostress-induced
sentiments,
primarily
concerning
service
features,
accessibility,
service,
security,
crucial
for
fintech
providers
to
enhance
experience.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 203 - 216
Published: April 25, 2025
This
study
examines
the
factors
affecting
digital
payment
adoption
systems
among
Gen
X
in
Odisha,
India,
with
a
focus
on
roles
of
perceived
usefulness,
ease
use,
and
trust.
Employing
quantitative
survey
method,
data
was
collected
from
385
respondents
through
structured
questionnaires
using
five-point
Likert
scale.
Result
Multiple
Regression
Analysis
revealed
that
all
three
significantly
positively
impact
behavioural
intention
to
adopt
payments,
trust
emerging
as
most
critical
predictor.
The
findings
signify
importance
enhancing
trust,
simplifying
interfaces,
demonstrating
utility
encourage
fintech
this
demographic.
research
highlights
actionable
insights
for
providers,
financial
institutions,
policymakers
aiming
expand
usage
Generation
X.
While
provides
robust
explanatory
power
(R2
=
96.5%),
its
limitations
include
suggesting
need
broader
geographic
demographic
investigations.
International Journal of Scientific Research and Management (IJSRM),
Journal Year:
2024,
Volume and Issue:
12(05), P. 6475 - 6487
Published: May 27, 2024
The
purpose
of
this
study
was
to
determine
the
effect
lifestyle,
conformity,
and
e-money
on
online
shopping
consumptive
behavior
in
generation
z
Mataram
City.
type
research
used
is
quantitative
research.
population
Z
with
birth
year
1997-2012
sample
consisted
120
people
who
were
identified
using
purposive
sampling
technique.
Data
collection
a
questionnaire.
data
analyzed
SEM-PLS
analysis
help
SmartPLS
4.0
software.
Based
analysis,
following
results
are
obtained:
(1)
lifestyle
has
positive
significant
behavior.
(2)
conformity
Meanwhile,
(3)
E-Money
but
insignificant
shopping.
